On neural networks and learning systems for business computing

Y Li, W Jiang, L Yang, T Wu - Neurocomputing, 2018 - Elsevier
Artificial intelligence, including neural networks, deep learning and machine learning, has
made numerous progress and offered new opportunity for academic research and …

Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication

EI Toki, G Tatsis, VA Tatsis, K Plachouras, J Pange… - Mathematics, 2023 - mdpi.com
Screening and evaluation of developmental disorders include complex and challenging
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …

Modeling of cutting performances in turning process using artificial neural networks

S Dahbi, L Ezzine… - International Journal of …, 2017 - journals.sagepub.com
In this article, we present the modeling of cutting performances in turning of 2017A
aluminum alloy under four turning parameters: cutting speed, feed rate, depth of cut, and …

Environmental sustainability with free-floating carsharing services: An on-demand refueling recommendation system for Car2go in Seattle

Z Meng, EY Li, R Qiu - Technological Forecasting and Social Change, 2020 - Elsevier
Free-floating carsharing has become an increasing concern in recent years. It is a key
contributor to the sharing economy, which is beneficial to environmental sustainability …

Cash flow forecasting with risk consideration using Bayesian Belief Networks (BBNS)

M Khanzadi, E Eshtehardian… - Journal of Civil …, 2017 - Taylor & Francis
Cash-flow management is very important for contractors given that inadequate cash
resources typically are the main causes for bankruptcy of construction companies. In …

A transferability evaluation model for intellectual property

N Ko, B Jeong, W Seo, J Yoon - Computers & Industrial Engineering, 2019 - Elsevier
As a type of intellectual property rights, patents are a vast source of human-generated
technological knowledge; as such, patent evaluations from various perspectives have long …

Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks

IG Tsoulos, A Tzallas - AI, 2023 - mdpi.com
Perhaps one of the best-known machine learning models is the artificial neural network,
where a number of parameters must be adjusted to learn a wide range of practical problems …

Liquidity forecasting at corporate and subsidiary levels using machine learning

V Singh, B Choubey, S Sauer - Intelligent Systems in …, 2024 - Wiley Online Library
Liquidity planning and forecasting are essential activities in corporate financial planning
team. Traditionally, empirical models and techniques based on in‐house expertise have …

[HTML][HTML] Predicting the Duration of Forest Fires Using Machine Learning Methods

C Kopitsa, IG Tsoulos, V Charilogis, A Stavrakoudis - Future Internet, 2024 - mdpi.com
For thousands of years forest fires played the role of a regulator in the ecosystem. Forest
fires contributed to the ecological balance by destroying old and diseased plant material; but …

Utilizing Constructed Neural Networks for Autism Screening

EI Toki, J Pange, G Tatsis, K Plachouras, IG Tsoulos - Applied Sciences, 2024 - mdpi.com
Autism Spectrum Disorder is known to cause difficulties in social interaction and
communication, as well as repetitive patterns of behavior, interests, or hobbies. These …